Jefferson Provost

3.1k total citations · 1 hit paper
7 papers, 2.7k citations indexed

About

Jefferson Provost is a scholar working on Artificial Intelligence, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Jefferson Provost has authored 7 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Signal Processing. Recurrent topics in Jefferson Provost's work include Robot Manipulation and Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Modular Robots and Swarm Intelligence (1 paper). Jefferson Provost is often cited by papers focused on Robot Manipulation and Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Modular Robots and Swarm Intelligence (1 paper). Jefferson Provost collaborates with scholars based in United States. Jefferson Provost's co-authors include Brian MacWhinney, Jonathan Cohen, Matthew Flatt, Jonathan Cohen, Benjamin Kuipers, Risto Miikkulainen, Patrick Beeson, Joseph Modayil, Risto Miikkulainen and Yoonsuck Choe and has published in prestigious journals such as Neurocomputing, Connection Science and Spatial Vision.

In The Last Decade

Jefferson Provost

7 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PsyScope: An interactive graphic system for designing and controlling experiments in the psychology laboratory using Macintosh computers

1993 2.6k citations Jonathan Cohen, Brian MacWhinney et al. Behavior Research Methods, Instruments, & Computers profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jefferson Provost United States	6	2.0k	986	929	333	243	7	2.7k
Alan Allport United Kingdom	21	2.9k 1.5×	1.2k 1.2×	786 0.8×	401 1.2×	140 0.6×	28	3.4k
Ira Fischler United States	26	2.2k 1.1×	1.3k 1.3×	660 0.7×	364 1.1×	303 1.2×	53	2.7k
Remo Job Italy	31	2.4k 1.2×	1.6k 1.6×	837 0.9×	377 1.1×	242 1.0×	124	3.2k
Thomas P. Urbach United States	21	2.7k 1.4×	1.1k 1.2×	960 1.0×	397 1.2×	336 1.4×	30	3.2k
Hiroyuki Sogo Japan	6	1.9k 0.9×	477 0.5×	788 0.8×	476 1.4×	160 0.7×	28	2.8k
Chris Westbury Canada	26	2.2k 1.1×	1.2k 1.2×	1.1k 1.2×	556 1.7×	499 2.1×	70	3.4k
Daisy L. Hung Taiwan	31	2.2k 1.1×	1.2k 1.3×	658 0.7×	424 1.3×	134 0.6×	69	3.0k
M. Teresa Bajo Spain	34	2.6k 1.3×	1.6k 1.7×	955 1.0×	277 0.8×	394 1.6×	165	3.7k
Kenneth R. Paap United States	28	3.0k 1.5×	2.6k 2.7×	954 1.0×	246 0.7×	277 1.1×	65	4.0k
Patrick Bonin France	32	2.4k 1.2×	2.1k 2.1×	998 1.1×	326 1.0×	546 2.2×	110	3.4k

Countries citing papers authored by Jefferson Provost

Since Specialization

Citations

This map shows the geographic impact of Jefferson Provost's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jefferson Provost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jefferson Provost more than expected).

Fields of papers citing papers by Jefferson Provost

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jefferson Provost. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jefferson Provost. The network helps show where Jefferson Provost may publish in the future.

Co-authorship network of co-authors of Jefferson Provost

This figure shows the co-authorship network connecting the top 25 collaborators of Jefferson Provost. A scholar is included among the top collaborators of Jefferson Provost based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jefferson Provost. Jefferson Provost is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Provost, Jefferson, Benjamin Kuipers, & Risto Miikkulainen. (2006). Developing navigation behavior through self-organizing distinctive-state abstraction. Connection Science. 18(2). 159–172. 16 indexed citations

2.

Kuipers, Benjamin, Patrick Beeson, Joseph Modayil, & Jefferson Provost. (2006). Bootstrap learning of foundational representations. Connection Science. 18(2). 145–158. 31 indexed citations

3.

Provost, Jefferson, Benjamin Kuipers, & Risto Miikkulainen. (2004). Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning. National Conference on Artificial Intelligence. 10 indexed citations

4.

Bednar, James A., et al.. (2004). Modeling cortical maps with Topographica. Neurocomputing. 58-60. 1129–1135. 9 indexed citations

5.

Provost, Jefferson, Patrick Beeson, & Benjamin Kuipers. (2001). Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs. 2 indexed citations

6.

MacWhinney, Brian, Jefferson Provost, & Jonathan Cohen. (1997). The PsyScope experiment-building system. Spatial Vision. 11(1). 99–101. 97 indexed citations

7.

Cohen, Jonathan, Brian MacWhinney, Matthew Flatt, & Jefferson Provost. (1993). PsyScope: An interactive graphic system for designing and controlling experiments in the psychology laboratory using Macintosh computers. Behavior Research Methods, Instruments, & Computers. 25(2). 257–271. 2555 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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